Model Comparison

GPT-4 Turbo vs Llama 3.1 70B Instruct

GPT-4 Turbo significantly outperforms across most benchmarks. Llama 3.1 70B Instruct is 75.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-4 Turbo outperforms in 4 benchmarks (DROP, GPQA, HumanEval, MMLU), while Llama 3.1 70B Instruct is better at 0 benchmarks.

GPT-4 Turbo significantly outperforms across most benchmarks.

Thu Apr 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 70B Instruct costs less

For input processing, GPT-4 Turbo ($10.00/1M tokens) is 50.0x more expensive than Llama 3.1 70B Instruct ($0.20/1M tokens).

For output processing, GPT-4 Turbo ($30.00/1M tokens) is 150.0x more expensive than Llama 3.1 70B Instruct ($0.20/1M tokens).

In conclusion, GPT-4 Turbo is more expensive than Llama 3.1 70B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Apr 02 2026 • llm-stats.com
OpenAI
GPT-4 Turbo
Input tokens$10.00
Output tokens$30.00
Best providerAzure
Meta
Llama 3.1 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Llama 3.1 70B Instruct can generate longer responses up to 128,000 tokens, while GPT-4 Turbo is limited to 4,096 tokens.

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Meta
Llama 3.1 70B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Apr 02 2026 • llm-stats.com

License

Usage and distribution terms

GPT-4 Turbo is licensed under a proprietary license, while Llama 3.1 70B Instruct uses Llama 3.1 Community License.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-4 Turbo

Proprietary

Closed source

Llama 3.1 70B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Llama 3.1 70B Instruct was released on 2024-07-23.

Llama 3.1 70B Instruct is 4 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.0 years ago

Llama 3.1 70B Instruct

Jul 23, 2024

1.7 years ago

3mo newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Llama 3.1 70B Instruct's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Llama 3.1 70B Instruct's cutoff date.

GPT-4 Turbo

Dec 2023

Llama 3.1 70B Instruct

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Provider Availability

GPT-4 Turbo is available from Azure, OpenAI. Llama 3.1 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Cerebras, Together, Fireworks, Bedrock, Sambanova.

GPT-4 Turbo

azure logo
Azure
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M
openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M

Llama 3.1 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $0.78/1M
cerebras logo
Cerebras
Input Price:Input: $0.60/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
sambanova logo
Sambanova
Input Price:Input: $5.00/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Higher DROP score (86.0% vs 79.6%)
Higher GPQA score (48.0% vs 41.7%)
Higher HumanEval score (87.1% vs 80.5%)
Higher MMLU score (86.5% vs 83.6%)
Meta
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4 Turbo
Meta
Llama 3.1 70B Instruct

FAQ

Common questions about GPT-4 Turbo vs Llama 3.1 70B Instruct

GPT-4 Turbo significantly outperforms across most benchmarks. GPT-4 Turbo is made by OpenAI and Llama 3.1 70B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. Llama 3.1 70B Instruct scores GSM-8K (CoT): 95.1%, ARC-C: 94.8%, API-Bank: 90.0%, IFEval: 87.5%, Multilingual MGSM (CoT): 86.9%.
Llama 3.1 70B Instruct is 50.0x cheaper for input tokens. GPT-4 Turbo costs $10.00/M input and $30.00/M output via azure. Llama 3.1 70B Instruct costs $0.20/M input and $0.20/M output via lambda.
GPT-4 Turbo supports 128K tokens and Llama 3.1 70B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($10.00 vs $0.20/M), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.
GPT-4 Turbo is developed by OpenAI and Llama 3.1 70B Instruct is developed by Meta.